fast-ice

version 1.0.0 (58.2 KB) by Chad Greene
Matlab函数加载Alex Fraser's fast ice dataset.

15 Downloads

Updated8 Oct 2021

From GitHub

View License on GitHub

View fast-ice on File Exchange

fast-ice

Matlab函数加载Alex Fraser's fast ice dataset.

Contents

  • fastice_data_downloaddownloads all 19 years of fast ice data.
  • fastice_dataloads gridded data for any specified year of the fortnightly fast ice data.
  • fastice_data_autumnloads gridded data corresponding to early March of every year (because coastline mapping is only updated once a year, each March).

开始

  1. InstallAntarctic Mapping Tools for Matlab.
  2. Get the data. The simplest thing is to runfastice_data_download, which will download all the data (It's a big dataset and it takes a while.) If your firewall settings preventfastice_data_downloadfrom running, you can manually download the datahere.

Citations

If you use this dataset and these functions, please cite them as:

  • Fraser, A.D. and Massom, R. (2020) Circum-Antarctic landfast sea ice extent, 2000-2018, Ver. 2.2, Australian Antarctic Data Centre -doi:10.26179/5d267d1ceb60c
  • Fraser, A. D., Massom, R. A., Ohshima, K. I., Willmes, S., Kappes, P. J., Cartwright, J., and Porter-Smith, R.: High-resolution mapping of circum-Antarctic landfast sea ice distribution, 2000–2018, Earth Syst. Sci. Data, 12, 2987–2999,doi:10.5194/essd-12-2987-2020.
  • Greene, C. A., Gwyther, D. E., & Blankenship, D. D. (2017). Antarctic Mapping Tools for Matlab. Computers & Geosciences, 104, 151–157. Elsevier BV.doi:10.1016/j.cageo.2016.08.003

Cite As

Fraser, Alexander D., et al. “High-Resolution Mapping of Circum-Antarctic Landfast Sea Ice Distribution, 2000–2018.” Earth System Science Data, vol. 12, no. 4, Copernicus GmbH, Nov. 2020, pp. 2987–99, doi:10.5194/essd-12-2987-2020.

View more styles

格林,乍得,et al。”f南极映射工具or Matlab.” Computers & Geosciences, vol. 104, Elsevier BV, July 2017, pp. 151–57, doi:10.1016/j.cageo.2016.08.003.

View more styles
MATLAB Release Compatibility
Created with R2021a
Compatible with any release
Platform Compatibility
Windows macOS Linux
TagsAdd Tags
amt

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
To view or report issues in this GitHub add-on, visit theGitHub Repository.
To view or report issues in this GitHub add-on, visit theGitHub Repository.